The NIH-funded KATRINA@10 Program consists of an interrelated set of three primary data collection projects that focus on specific sub-populations who were uniquely affected by Hurricane Katrina: households along Louisiana and Mississippi's Gulf Coast, low-income parents from New Orleans, and Vietnamese families living in New Orleans. In addition, the program contains two secondary analyses of data that are more broadly representative of the overall affected population, and three cores (Administrative, Data Collection, Data Management and Dissemination) to support the set of research projects. The following research questions represent the studies together as a whole: How well does the Socio-ecological model of Disaster Recovery developed by the research team (Abraham et al. 2010) predict recovery across the three cohort studies? How do trajectories of long-term recovery differ among and within these sub-populations? How do the trajectories of recovery compare to those of mainstream populations? How of the effects of pre-disposing factors (such as poverty) and degree-of-impact (such as flooding depth) vary among the three sub-populations? How do interpretations of the disaster, resilience, and recovery differ among respondents? What are the determinants of long-term recovery in domains such as mental and physical health, socio-economic status, and community and social roles? How are these domains related to each other across individuals and across sub-populations? This collection contains data from the Resilience in Survivors of Katrina (RISK) Project, which was a longitudinal study of low-income parents who lived in New Orleans at the time of Hurricane Katrina (August 2005). The initial study design was intended to increase educational attainment among college students, measuring economic status, social ties, and mental and physical health starting in 2003 (initial cohort n=1,019). However, with the aftermath of Hurricane Katrina, the research design evolved to study the consequences of a disaster for the lives of vulnerable individuals and their families. Follow-up surveys and in-depth qualitative interviews were conducted with participants at one year and five years post-Katrina, regardless of where participants lived. The data in this collection is from the most recent survey follow-up with RISK Project participants (n=716), conducted between 2016 and 2018. A public-use version (DS1) and restricted-use version (DS2) are available. Open-ended responses and continuous variables for respondent age and total household income have been masked in the public-use version; these items are available in the restricted-use version.

The purpose of this study, Proposed Locations for FEMA Trailers in Post-Katrina New Orleans, 2005-2006, is to understand the factors affecting decision makers who sought to place travel trailers in the New Orleans, LA area post-Hurricane Katrina. This data set captures the number of temporary trailers and temporary trailer sites per zip code that were proposed by the Federal Emergency Management Agency (FEMA) in conjunction with the New Orleans city government. Based on the TAC-RC-IA Priority Sites Report (Master Copy) dated 29 June 2006, this data set also p rovides demographic, socioeconomic, geographic, political, and civil society measures for 114 zip codes in and around metropolitan New Orleans, Louisiana where those trailers could have been placed. Demographic information includes population, voting age population, elderly population, and population density per zip code. Geographic measures include the area of the zip code in square miles along with three different measures for water damage and flooding per zip code. Socioecon omic indicators include median house prices, income, percentage of individuals attending college, percentage non-white, percentage of families below the poverty line, and percentage unemployed per zip code. Following Hamilton (1993), we measure civil society mobilization potential through voter turn out. Note that this data set does not capture the areas that, in the end, received trailers. Rather, it can be used to test the siting heuristics used by decision makers in the post- Katrina environment when many local communities in the area publicly expressed their opposition to have trailers and trailer parks put in their back yards. The list of proposed sites can be analyzed to understand which areas city and government planners believed would be most amenable to these controversial facilities in the post-Katrina environment.

Data Set Information This data set describes the listing activity of Airbnb homestays in New Orleans, Louisiana, as part of the Inside Airbnb initiative. The data set was compiled on November 7, 2021. See the New Orleans Airbnb data visually here.

Some personally identifying information has been removed from the data uploaded here.

Contents The following Airbnb activity is included in this New Orleans data set:

Listings, including full descriptions and average review score (new_orleans_airbnb_listings.csv) Reviews, including unique id for each reviewer and detailed comments (reviews.csv)

Acknowledgements Data credit goes to Murray Cox and Inside Airbnb. The original source for this particular New Orleans data can be found here--where you can also find information on the different listing ids and their price and availability for different calendar dates (if you're interested in looking at how Airbnb rental listing price fluctuates over time).

Context The data set can be used to answer some interesting questions, such as:

Can you predict how much a short-term rental in New Orleans should charge per night based on it's location and amenities? Can you describe the vibe of each neighborhood in using listing descriptions? What are the most common amenities to have among short-term rental listings in New Orleans? What elements contribute to a popular or highly-rated listing? Is there any noticeable difference in favorability among different NOLA neighborhood/areas and what could be the reason for it? Furthermore, it's also important to note that Inside Airbnb (provider of dataset) is a mission driven activist project with the objective to provide data that quantifies the impact of short-term rentals on housing and residential communities; and also provides a platform to support advocacy for policies to protect cities from the impacts of short-term rentals.

According to travel guides, New Orleans is one of the top ten most-visited cities in the United States. It was severely affected by Hurricane Katrina in August 2005, which flooded more than 80% of the city, killed more than 1,800 people, and displaced thousands of residents, causing a population decline of over 50%. Since Katrina, major redevelopment efforts have led to a rebound in the city's population. Concerns about gentrification, new residents buying property in formerly closely knit communities, and displacement of longtime residents have all been a major discussion topic.

Bearing the given context in mind, this data set shared by Inside Airbnb also allows you to ask fundamental questions about Airbnb in any neighbourhood, or across the city as a whole, such as:

How many listings are in my neighbourhood and where are they? How many houses and apartments are being rented out frequently to tourists and not to long-term residents? How much are hosts making from renting to tourists (compare that to long-term rentals)? Which hosts are running a business with multiple listings and where they? The questions (and their answers) get to the core of the debate for many cities around the world, with Airbnb claiming that their hosts only occasionally rent the homes in which they live. In addition, many city or state legislation or ordinances that address residential housing, short term or vacation rentals, and zoning usually make reference to allowed use, including:

how many nights a dwelling is rented per year minimum nights stay whether the host is present how many rooms are being rented in a building the number of occupants allowed in a rental whether the listing is licensed

Original Data Source: New Orleans Airbnb Listings and Reviews

Background characteristics of the African American and Vietnamese American participants in 2007 and 2018, applying bivariate analysis.

Differences of post-disaster mental health between African American and Vietnamese American participants in 2007 (N = 144) and 2018 (N = 109), applying linear regression models.